The Iris flower detection is a classic machine learning problem that involves predicting the species of the Iris flower based on its four measurements: sepal length, sepal width, petal length, and ...

This is an small machine learning project done using python and various libraries such as numpy, scipy, scikit-learn, pandas and matplotlib for classifiying the Iris plant data and its prediction ...

The objective of this paper is to introduce a new integrated methodology for iris detection and recognition using a two fold method to deduce better results as compared to the existing techniques. The ...

In this paper, we propose an eye detection method that is adaptive to facial rotation, using a particle filter and edge directional features. To estimate the boundary between the iris and sclera or ...